Legal: Privacy DSR Response Preparation with Claude Code: Result JSON Schema

A production playbook for privacy DSR response preparation in legal operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Privacy legal teams handling data subject requests

The problem

Privacy legal teams handling data subject requests need privacy DSR response preparation to run repeatedly against identity evidence, data maps, request forms, and response templates. In legal operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.

Implementation path

Define the outer result contract once, let the privacy DSR response preparation skill own body.data, and reject terminal output that does not match the expected schema.

Tradeoffs and failure modes

Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For privacy DSR response preparation, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.

Result shape

{
  "schema_version": "argo.result.v1",
  "summary": "privacy DSR response preparation completed",
  "body": { "type": "legal_privacy_dsr", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo